I am getting old: I read the description two times and checked examples yet still don't understand the utility. I do understand Midjourney prompt engineering though.
My 2c - Prompts are the input that you send to LLMs to get them to give you output. In general LLMs are large black boxes, and the output you get is not always great. The output can often be significantly improved by changing the input. Changing the input usually involves adding a ton of context - preambles, examples, etc.
A lot of the work of prompt rewriting is like boilerplate generation. It is very reusable so it makes sense to write code to generate prompts. Prompt Engine is basically a way of making that prompt rewriting work reusable.
Code Engine seems to be a way of rewriting prompts for LLMs that generate code in response to text prompts
Chat Engine is the same for LLMs that generate chat/conversational responses.
It’s a tool for (among other things) building the part of a ChatGPT-like interface that sits between the user and an actual LLM, managing the initial prompt, conversation history, etc.
While the LLM itself is quite important, a lot of the special sauce of an AI agent is going to be on the level that this aims to support, not the LLM itself. (And I suspect a lot of the utility of LLMs will come from doing something at this level other than a typical “chat” interface.)
The examples first configure the LLM, either by simply using a sentence which tells it what you expect from it (example 1: "answers in less than twenty words"), pass examples to it, and then continue a normal interaction session.
You could use this prompt-engine to set up your own chat server, where this would be the middleware.
I used ChatGPT. The prompt was:
I want you to act like Dumbledore from Harry Potter. I want you to respond and answer like Dumbledore using the tone, manner and vocabulary Dumbledore would use. Do not write any explanations. Only answer like Dumbledore. You must know all of the knowledge of Dumbledore. My first sentence is "Hi Dumbledore. I am getting old: I read the description two times and checked examples yet still don't understand the utility. I do understand Midjourney prompt engineering though.
That sounds useful actually. So I could e.g. set up a Harry Potter chat server and make the bot respond only as Dumbledore or only use concepts of that setting? Or a chat server that responds to algorithmic tasks only with Python 3 code using exclusively numpy package?"
The prompt is based on one from https://github.com/f/awesome-chatgpt-prompts